NeuroNav

Real-Time Haptic Navigation and Posture Monitor

A non-invasive sensor suite that turns physical proximity and faint detection into a haptic feedback matrix, relaying information to authorized caregivers and HCPs if opted in.

3+
haptic motors
40Hz
sensor poll rate
3
proximity zones
36h
build window
SCROLL
The Problem

The Mobility Gap

Over 11 million Americans suffer from Neurodegenerative diseases.

Currently, integrated smart wheelchair systems charge up to $350 - $750 per year for faint detection.

The Solution

What NeuroNav Does

We built a sub-$50 sensor suite with haptic feedback offering faint + obstacle detection.

Capabilities

Key Features

LiDAR Obstacle Detection

Time-of-Flight (ToF) sensors detect environmental hazards

Posture & Fatigue Tracking

An MPU-6050 IMU tracks Yaw, Pitch, and Roll to detect rapid head slumps

Multimodal Haptic Feedback

Vibration motors notify the user of nearby obstacles, communicating distance through vibration strength

Live Web Dashboard

A Next.js zero-latency interface allows caregivers & authorized HCPs to monitor the user's posture and surroundings remotely

Click the arrow to reveal each feature →
Product Demonstration

See the dashboard in action

See what authorized caregivers and HCPs can monitor in real-time.

What's Next?

NeuroNav in the Future

  • Large Scale Multinodal EEG Integration: Implementing electroencephalography sensors inside a helmet to read brainwaves for pinpoint detection of loss of consciousness more precisely
  • PCB Fabrication and Design: Improve wire management and scalability of NeuroNav to HCPs and patients
  • Custom CAD/CAM Parts: Transitioning to 3D-printed mounts / injection molding for seamless installation on any wheelchair model for widespread compatibility
Q&A

Questions?

We'd love to hear your thoughts, feedback, and answer any questions about the hardware, telemetry, or future scope

End

Thank You.

NeuroNav
Enoch Shum, Connor Doty